基于统计特性的SAR海洋图像纹理分析方法

SAR的出现为人们监测、研究、利用和开发海洋提供了新的方法和手段。利用SAR图像对海洋波浪、浮冰块、内波、海底地形、船舶及其航迹等的研究都取得了明显的进展，大部分海洋现象表现为具有特定纹理分布的SAR图像。该文研究了基于K分布的海洋SAR图像纹理特征以及纹理参数的估计方法，并利用纹理参数判断海洋现象，为海洋环境监测和海洋现象识别提供途径。文中方法对检测局域范围海洋弱信号有较好的效果。

A Texture Analysis Method of SAR Ocean Images Based on Statistical Character

Synthetic aperture radar(SAR) has offered us a new method to investigate and exploit the ocean. There have been great achievements in research of ocean wave, floating ice, ship and its wake and internal wave. Many of the ocean phenomena represent as certain texture on SAR images. The paper studied the texture analysis method of SAR images based on K-distribution, then the method was used to estimate the ocean phenomenon. It proved to be a good technique of ocean investigation.